2 papers
eess.AS2026
A two-step approach for speech enhancement in low-SNR scenarios using cyclostationary beamforming and DNNs
Giovanni Bologni, Nicolás Arrieta Larraza, Richard Heusdens +1
Deep Neural Networks (DNNs) often struggle to suppress noise at low signal-to-noise ratios (SNRs). This paper addresses speech enhancement in scenarios dominated by harmonic noise…
eess.AS2026
Fast-ULCNet: A fast and ultra low complexity network for single-channel speech enhancement
Nicolás Arrieta Larraza, Niels de Koeijer
Single-channel speech enhancement algorithms are often used in resource-constrained embedded devices, where low latency and low complexity designs gain more importance. In recent y…